IBM Langflow

Langflow is a visual builder for AI workflows that combines no-code creation with full-code development, allowing users to assemble complex agentic workflows with drag-and-drop components. It lets users prototype quickly and then extend these flows with Python, custom logic, or external APIs to integrate internal systems or create new tools. It is for developers, data scientists, and anyone building AI applications who needs both rapid iteration and deep technical control, without being locked into proprietary infrastructure. Users are excited about its flexibility, enabling them to connect to LLM providers, vector databases, and APIs using well-defined components that behave predictably. Langflow Editions include Langflow OSS for open-source customization, IBM Langflow Cloud for managed deployment and scaling, and integration with watsonx Orchestrate for enterprise-grade automation pipelines. This makes AI development more accessible and scalable. It allows users to expose flows as APIs, wrap them in custom UIs, or run them as agents that can call tools, databases, and external systems, with the ability to auto-scale in Langflow Cloud or personal infrastructure as demand grows. This ensures workflows remain portable and environment-agnostic, supporting seamless deployment to dev, QA, or production environments using the same flow definition. Its key features allow users to assemble complex agentic workflows visually, but never locks them in. Each component exposes its underlying configuration, and any flow can be extended with Python, custom logic, or external APIs. This allows users to prototype fast, then dive deep when needed, without switching tools or rewriting their workflow. This ensures your workflow stays portable and environment-agnostic, so you can ship to dev, QA, or prod using the same flow definition.

Visual builder for AI workflow automation.